## Climate Simulation

 ### Associated Publications

 

### 2025 

[Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting](/publication/2025-12_elucidated-rolling-diffusion-models-probabilistic-weather-forecasting)

Salva Rühling Cachay, [Miika Aittala](/person/miika-aittala), [Karsten Kreis](/person/karsten-kreis), [Noah Brenowitz](/person/noah-brenowitz), [Arash Vahdat](/person/arash-vahdat), [Morteza Mardani](/person/morteza-mardani), Rose Yu



[Neural Information Processing Systems (NeurIPS) 2025](https://arxiv.org/abs/2506.20024)









[Huge ensembles–Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators](/publication/2025-09_huge-ensembles-part-1-design-ensemble-weather-forecasts-using-spherical-fourier)

Ankur Mahesh, William D. Collins, [Boris Bonev](/person/boris-bonev), [Noah Brenowitz](/person/noah-brenowitz), Yair Cohen, Joshua Elms, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis O'Brian, [Mike Pritchard](/person/mike-pritchard), David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard



[GMD Publication](https://gmd.copernicus.org/articles/18/5575/2025/)









[Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators](/publication/2025-09_huge-ensembles-part-2-properties-huge-ensemble-hindcasts-generated-spherical)

Ankur Mahesh, William D. Collins, [Boris Bonev](/person/boris-bonev), [Noah Brenowitz](/person/noah-brenowitz), Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis O'Brian, [Mike Pritchard](/person/mike-pritchard), David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard



[GMD Publication](https://gmd.copernicus.org/articles/18/5605/2025/)









[FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale](/publication/2025-07_fourcastnet-3-geometric-approach-probabilistic-machine-learning-weather)

[Boris Bonev](/person/boris-bonev), Thorsten Kurth, Ankur Mahesh, Mauro Bisson, [Jean Kossaifi](/person/jean-kossaifi), Karthik Kashinath, Anima Anandkumar, William D. Collins, [Mike Pritchard](/person/mike-pritchard), [Alex Keller](/person/alex-keller)













### 2024 

[Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling](/index.php/publication/2024-08_kilometer-scale-convection-allowing-model-emulation-using-generative-diffusion)

[Jaideep Pathak](/index.php/person/jaideep-pathak), Yair Cohen, Piyush Garg, Peter Harrington, [Noah Brenowitz](/index.php/person/noah-brenowitz), [Dale Durran](/index.php/person/dale-durran), [Morteza Mardani](/index.php/person/morteza-mardani), [Arash Vahdat](/index.php/person/arash-vahdat), Shaoming Xu, Karthik Kashinath, [Mike Pritchard](/index.php/person/mike-pritchard)













[Neural operators with localized integral and differential kernels](/publication/2024-07_neural-operators-localized-integral-and-differential-kernels)

Miguel Liu-Schiaffini, Julius Berner, [Boris Bonev](/person/boris-bonev), Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar



[arXiv link](https://arxiv.org/abs/2402.16845)









### 2023 

[Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere](/publication/2023-06_spherical-fourier-neural-operators-learning-stable-dynamics-sphere)

[Boris Bonev](/person/boris-bonev), Thorsten Kurth, Christian Hundt, [Jaideep Pathak](/person/jaideep-pathak), Maximilian Baust, Karthik Kashinath, Anima Anandkumar



[PDF](https://proceedings.mlr.press/v202/bonev23a/bonev23a.pdf)









### 2018 

[Exascale Deep Learning for Climate Analytics](/publication/2018-11_exascale-deep-learning-climate-analytics)

Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston



[International Conference for High Performance Computing and Communications (SC'…](https://dl.acm.org/doi/10.5555/3291656.3291724)









 

 



 ### Researchers

 

[Dale Durran](/person/dale-durran)



[Mike Pritchard](/person/mike-pritchard)



[Noah Brenowitz](/person/noah-brenowitz)



[Peter Manshausen](/index.php/person/peter-manshausen)



[Zeyuan Hu](/index.php/person/zeyuan-hu)